Month: 2025-11. Key feature delivered: OpenAI Audio Transcriptions support in the PostHog AI SDK for the PostHog-js repo, enabling telemetry, tracking, and monitoring of transcription requests with streaming vs non-streaming modes and transcription-specific model options. Introduced WrappedTranscriptions to unify handling of transcription requests and updated model parameter tracking to include transcription fields. This work enhances observability of AI-driven workflows, supports data-driven decisions around transcription usage, and lays groundwork for cost/control dashboards. Major bugs fixed: Fixed transcription parameter tracking in model params, ensuring language, response_format, and timestamp_granularities are captured properly; addressed test failures related to transcription language and response_format. Overall impact and accomplishments: Delivered end-to-end support for OpenAI audio transcriptions in the AI SDK, improving developer experience and product telemetry. Enhanced data quality for AI features, enabling better monitoring, usage analytics, and cost governance. Demonstrated strong collaboration between AI SDK and core engine, with tests covering new flows and a changeset entry. Technologies/skills demonstrated: TypeScript, AI SDK integration, parameter tracking, streaming vs non-streaming support, test-driven development, observability instrumentation, and changelog/changeset discipline (including cross-spawn type considerations).